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基于 cheminformatics 的潜在新型抗 SARS-CoV-2 非洲天然化合物的鉴定。

Cheminformatics-Based Identification of Potential Novel Anti-SARS-CoV-2 Natural Compounds of African Origin.

机构信息

Department of Biomedical Engineering, School of Engineering Sciences, College of Basic and Applied Sciences, University of Ghana, Legon P.O. Box LG 54, Accra, Ghana.

West African Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Legon P.O. Box LG 54, Accra, Ghana.

出版信息

Molecules. 2021 Jan 14;26(2):406. doi: 10.3390/molecules26020406.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome virus 2 (SARS-CoV-2) has impacted negatively on public health and socioeconomic status, globally. Although, there are currently no specific drugs approved, several existing drugs are being repurposed, but their successful outcomes are not guaranteed. Therefore, the search for novel therapeutics remains a priority. We screened for inhibitors of the SARS-CoV-2 main protease and the receptor-binding domain of the spike protein from an integrated library of African natural products, compounds generated from machine learning studies and antiviral drugs using AutoDock Vina. The binding mechanisms between the compounds and the proteins were characterized using LigPlot+ and molecular dynamics simulations techniques. The biological activities of the hit compounds were also predicted using a Bayesian-based approach. Six potential bioactive molecules NANPDB2245, NANPDB2403, fusidic acid, ZINC000095486008, ZINC0000556656943 and ZINC001645993538 were identified, all of which had plausible binding mechanisms with both viral receptors. Molecular dynamics simulations, including molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) computations revealed stable protein-ligand complexes with all the compounds having acceptable free binding energies <-15 kJ/mol with each receptor. NANPDB2245, NANPDB2403 and ZINC000095486008 were predicted as antivirals; ZINC000095486008 as a membrane permeability inhibitor; NANPDB2403 as a cell adhesion inhibitor and RNA-directed RNA polymerase inhibitor; and NANPDB2245 as a membrane integrity antagonist. Therefore, they have the potential to inhibit viral entry and replication. These drug-like molecules were predicted to possess attractive pharmacological profiles with negligible toxicity. Novel critical residues identified for both targets could aid in a better understanding of the binding mechanisms and design of fragment-based inhibitors. The compounds are proposed as worthy of further in vitro assaying and as scaffolds for the development of novel SARS-CoV-2 therapeutic molecules.

摘要

新型冠状病毒病 2019(COVID-19)是由严重急性呼吸系统综合征病毒 2(SARS-CoV-2)引起的大流行,对全球公共卫生和社会经济状况产生了负面影响。尽管目前尚无特定药物获批,但正在对几种现有药物进行重新利用,但不能保证这些药物会取得成功。因此,寻找新的治疗方法仍然是当务之急。我们从非洲天然产物的综合文库、机器学习研究产生的化合物和抗病毒药物中筛选出针对 SARS-CoV-2 主蛋白酶和刺突蛋白受体结合域的抑制剂,使用 AutoDock Vina 进行筛选。使用 LigPlot+和分子动力学模拟技术对化合物与蛋白质之间的结合机制进行了表征。还使用基于贝叶斯的方法预测了命中化合物的生物活性。鉴定出了 6 种潜在的生物活性分子 NANPDB2245、NANPDB2403、夫西地酸、ZINC000095486008、ZINC0000556656943 和 ZINC001645993538,它们都与两种病毒受体具有合理的结合机制。分子动力学模拟,包括分子力学泊松-玻尔兹曼表面面积(MM/PBSA)计算,表明与所有受体结合的蛋白质-配体复合物均稳定,所有化合物的自由结合能均在-15 kJ/mol 以下。NANPDB2245、NANPDB2403 和 ZINC000095486008 被预测为抗病毒药物;ZINC000095486008 为膜通透性抑制剂;NANPDB2403 为细胞黏附抑制剂和 RNA 指导的 RNA 聚合酶抑制剂;NANPDB2245 为膜完整性拮抗剂。因此,它们具有抑制病毒进入和复制的潜力。这些类药物分子被预测具有良好的药理特性,毒性可忽略不计。针对两个靶点鉴定出的新型关键残基有助于更好地了解结合机制和基于片段的抑制剂的设计。建议这些化合物值得进一步进行体外检测,并作为开发新型 SARS-CoV-2 治疗分子的支架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c2/7829843/cff414d919ef/molecules-26-00406-g001.jpg

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